AI Workflows with Microsoft Agent Framework

Agenda:
6:00 PM - 7:30 PM - AI Workflows with Microsoft Agent Framework

Abstract:
AI systems become reliable when workflows—not prompts—define execution.
In this session, we’ll focus on Microsoft Agent Framework Workflows, the core abstraction for building structured, deterministic, and observable AI systems.

You’ll learn how workflows model AI behavior as explicit execution graphs composed of executors, edges, and type-safe messages, enabling planning, tool execution, reflection, human-in-the-loop interventions, and controlled retries. We’ll explore how orchestrations coordinate these workflows, manage state, and control execution paths—bringing predictability and debuggability to multi-step AI processes.

Rather than relying on opaque agent loops, Microsoft Agent Framework workflows make control flow, decision points, human approvals, and system behavior explicit, making them suitable for production, governance, and enterprise integration.

### Key takeaways:

• Why workflows are the foundational concept in Agent Framework
• Core workflow primitives: executors, edges, messages, checkpoints
• How orchestrations manage flow, state, execution paths, and human-in-the-loop steps
• When to use workflows instead of prompt-driven agents
• Designing AI systems that are deterministic, testable, observable, and governable